Obtaining the right information at the right time is one of the main challenges for modern societies. This holds especially for companies that must handle complex business processes that require case dependent information. Unfortunately, case dependent and relevant information is often widespread over different document systems. Users must interact with various applications and search for semantically related (and helpful) documents without any, or with only little, support by the disparate retrieval systems. In this work, a system called Advanced ontologybased Information Retrieval System (AIRS) is introduced that includes methods of state-of-the-art enterprise search technology and combines them with an ontology called AIRS Knowledge Base (AIRSKB). AIRS is deeply integrated with advanced information retrieval technologies to make search processes in large heterogeneous document landscapes more effective and increase the quality of search results.
